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Elena Cuoco - Python in Gravitational Waves Research Communities [EuroPython 2016] [19 July 2016 / 2016-07-19] [Bilbao, Euskadi, Spain] (https://ep2016.europython.eu//conference/talks/pyhton-in-gravitational-waves-research-communities) On February 11th 2016 Ligo-Virgo collaboration gave the announce of the discovery of Gravitational Waves, just 100 years after the Einstein’s paper on their prediction. A brief introdutcion to data analysis methods used in Gravitational Waves (GW) communities...
Topics: Jupyter/iPython Notebook, Data Science, EuroPython2016, Python
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Florian Wilhelm - Handling GPS Data with Python [EuroPython 2016] [22 July 2016 / 2016-07-22] [Bilbao, Euskadi, Spain] (https://ep2016.europython.eu//conference/talks/handling-gps-data-with-python) If you have ever happened to need to deal with GPS data in Python you may have felt a bit lost. This talk presents libraries starting from basic reading and writing GPS tracks in the GPS Exchange Format to adding missing elevation information. Also visualisation of tracks on OpenStreetmap data with...
Topics: Visualization, Science, Jupyter/iPython Notebook, Sensors, EuroPython2016, Python
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Zuria Bauer/Daniel Domene López - How to improve your diet and save money with Python [EuroPython 2016] [19 July 2016 / 2016-07-19] [Bilbao, Euskadi, Spain] (https://ep2016.europython.eu//conference/talks/how-to-improve-your-diet-and-save-money-with-python) Optimization in Python (also known as mathematical programming) can be performed by minimization (or maximization) of an objective function within a model that can include discrete variables subject to a set of constrains. At this talk,...
Topics: Science, Beginners, Jupyter/iPython Notebook, Engineering, Science Track, EuroPython2016, Python
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Mike BRIGHT - Jupyter for everything else [EuroPython 2016] [22 July 2016 / 2016-07-22] [Bilbao, Euskadi, Spain] (https://ep2016.europython.eu//conference/talks/jupyter-for-everything-else) Sure you can do a chunk of scientific exploration and stuff in Jupyter in your choice of language supplemented with visuals and that's already awesome ! But let's head off the beaten track a little to look at other uses, especially command-line. We'll look at some alternate uses of Jupyter ... ----- - Write...
Topics: Visualization, Use Case, Jupyter/iPython Notebook, Docker, Command-Line, EuroPython2016, Python
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PyRT (pronounced ""pirate"") is a rather new open source project creating a ray tracer in pure Python and some optional CPU/GPU acceleration using bindings. Ray tracing is a technique for generating an image by tracing the path of light. PyRT was created to render large 3D City models. In this talk, the possibilities and experiences of ray tracing in Python using pyRT are shown. pyRT also runs in the Jupyter Notebook. Rendering complex 3D-Geodata, such as 3D-City models with...
Topics: Visualization, GEO and GIS, Open-Source, Jupyter/iPython Notebook, 3D, EuroPython2017, Python
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Guillem Duran - Interactive data Kung Fu with Shaolin [EuroPython 2016] [18 July 2016 / 2016-07-18] [Bilbao, Euskadi, Spain] (https://ep2016.europython.eu//conference/talks/interactive-data-kung-fu-with-shaolin) “Notebooks come alive when interactive widgets are used”, but programming complex applications that rely entirely on widgets may end up being a painful and frustrating process. Shaolin is a new python project that aims to provide a framework for building interactive complex...
Topics: Visualization, Jupyter/iPython Notebook, Scientific Libraries (Numpy/Pandas/SciKit/...), Analytics,...
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The Jupyter Notebook (formerly IPython Notebook) has been used to support learning in different scenarios, including taught courses, self-directed learning and reference material such as software documentation. People have used it to learn how to program, and to learn about diverse subjects where computer code is important to human understanding. The aim of this talk is to dive into where and how notebooks can be used most effectively for education. I will first describe notebook-based learning...
Topics: Science, Education, Jupyter/iPython Notebook, All Other Programming Languages, Educational Track,...
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In the last years climate change has become one of the most important topic. For any period longer than a few days science is not able to provide comparable forecasts, but still a lot of useful information about future climate conditions can be gained on time scale of a few months to even several years. Climate forecast and climate projections data are quite complex to analyse and represent. The Python science ecosystem proves extremely effective as a platform to retrieve, analyse, process and...
Topics: Visualization, Data Science, Jupyter/iPython Notebook, Scientific Libraries...
